Abstract—In this study, we develop a robust model for the deployment of a fleet of ambulances under demand uncertainty. The proposed model remains computationally tractable in a full scale model, despite the explicit consideration of uncertain demands, for deriving plans that are robust against the worst case shortfalls in demand coverage. The explicit consideration of resource commitments overcomes the problem of cross coverage where each ambulance location has the ability to cover more than one demand point. An actual case study based on data gleaned from the Singapore’s emergency medical services is described.

Index Terms—ambulance deployment plans; demand uncertainty; response times

Cite: Sean Shao Wei Lam, Yee Sian Ng, Mohanavalli Rajagopal Lakshmanan, Yih Yng Ng, and Marcus Eng Hock Ong, "Ambulance Deployment under Demand Uncertainty," Journal of Advanced Management Science, Vol. 4, No. 3, pp. 187-194, May 2016. doi: 10.12720/joams.4.3.187-194